TY - JOUR
T1 - PaTH
T2 - Towards a learning health system in the Mid-Atlantic region
AU - the PaTH network team
AU - Amin, Waqas
AU - Rich Tsui, Fuchiang
AU - Borromeo, Charles
AU - Chuang, Cynthia H.
AU - Espino, Jeremy U.
AU - Ford, Daniel
AU - Hwang, Wenke
AU - Kapoor, Wishwa
AU - Lehmann, Harold
AU - Martich, G. Daniel
AU - Morton, Sally
AU - Paranjape, Anuradha
AU - Shirey, William
AU - Sorensen, Aaron
AU - Becich, Michael J.
AU - Hess, Rachel
AU - Docimo, Anne Boland
AU - Gibson, Kevin
AU - Heinrich, Theresa A.
AU - Jain, Sandeep
AU - Kahn, Jeremy
AU - Khorey, Lisa
AU - Lindell, Kathleen
AU - McTigue, Kathleen
AU - Mueller, Mary
AU - Ryan, Chris
AU - Clark, Jeanne
AU - Danoff, Sonye
AU - Gumas, Diana
AU - Meiselman, Sam
AU - Nazarian, Saman
AU - Oberteuffer, Robert
AU - Wang, Nae Yuh
AU - Abendroth, Thomas
AU - Bascom, Rebecca
AU - Berg, Arthur
AU - Dimmock, Anne
AU - Dzomba, Bari
AU - Kraschnewski, Jennifer
AU - Naccarelli, Gerald
AU - Notterman, Daniel
AU - Paz, Harold
AU - Rauscher, Richard
AU - Sciamanna, Christopher
AU - Cheung, Joseph
AU - Cordova, Francis
AU - Feldman, Art
AU - Frank, Erdlen
AU - Jacobs, Mike
AU - Mohan, Kruti
PY - 2014
Y1 - 2014
N2 - The PaTH (University of Pittsburgh/UPMC, Penn State College of Medicine, Temple University Hospital, and Johns Hopkins University) clinical data research network initiative is a collaborative effort among four academic health centers in the Mid-Atlantic region. PaTH will provide robust infrastructure to conduct research, explore clinical outcomes, link with biospecimens, and improve methods for sharing and analyzing data across our diverse populations. Our disease foci are idiopathic pulmonary fibrosis, atrial fibrillation, and obesity. The four network sites have extensive experience in using data from electronic health records and have devised robust methods for patient outreach and recruitment. The network will adopt best practices by using the opensource data-sharing tool, Informatics for Integrating Biology and the Bedside (i2b2), at each site to enhance data sharing using centrally defined common data elements, and will use the Shared Health Research Information Network (SHRINE) for distributed queries across the network.
AB - The PaTH (University of Pittsburgh/UPMC, Penn State College of Medicine, Temple University Hospital, and Johns Hopkins University) clinical data research network initiative is a collaborative effort among four academic health centers in the Mid-Atlantic region. PaTH will provide robust infrastructure to conduct research, explore clinical outcomes, link with biospecimens, and improve methods for sharing and analyzing data across our diverse populations. Our disease foci are idiopathic pulmonary fibrosis, atrial fibrillation, and obesity. The four network sites have extensive experience in using data from electronic health records and have devised robust methods for patient outreach and recruitment. The network will adopt best practices by using the opensource data-sharing tool, Informatics for Integrating Biology and the Bedside (i2b2), at each site to enhance data sharing using centrally defined common data elements, and will use the Shared Health Research Information Network (SHRINE) for distributed queries across the network.
UR - http://www.scopus.com/inward/record.url?scp=84902363095&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902363095&partnerID=8YFLogxK
U2 - 10.1136/amiajnl-2014-002759
DO - 10.1136/amiajnl-2014-002759
M3 - Article
C2 - 24821745
AN - SCOPUS:84902363095
SN - 1067-5027
VL - 21
SP - 633
EP - 636
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 4
ER -